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@@ -33,7 +33,7 @@ MoMa introduces a revolutionary **modular approach** to material property predic
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  ### 🎯 Key Achievements
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  - **πŸ† State-of-the-art performance** on 17 material property prediction datasets
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  - **πŸ“ˆ 14% average improvement** over strongest baselines
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- - **πŸ”§ 107 specialized modules** covering major material property domains
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  - **⚑ Superior few-shot** and continual learning capabilities
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  ### 🧠 Why MoMa?
 
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  ### 🎯 Key Achievements
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  - **πŸ† State-of-the-art performance** on 17 material property prediction datasets
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  - **πŸ“ˆ 14% average improvement** over strongest baselines
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+ - **πŸ”§ 100+ specialized modules** covering major material property domains
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  - **⚑ Superior few-shot** and continual learning capabilities
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  ### 🧠 Why MoMa?